The Lobo Lab

Computational & Systems Biology

At the Lobo Lab we are interested in understanding, controlling, and designing the dynamic regulatory mechanisms that direct complex biological processes. We develop new computational systems that can generate models, hypothesis, and theory from experimental data — automatically. We seek to discover the mechanisms of development and regeneration, find therapies for cancer and other diseases, and streamline the application of systems and synthetic biology.


- Eric Cheung joins the lab as an undergraduate researcher. Welcome Eric!

- Daniel gives a talk at the Computational Medicine and Bioinformatics Seminar Series at the University of Michigan, Ann Arbor.

- Caroline, Junaid, and Joy present posters at the 20th Annual Undergraduate Research Symposium in the Chemical and Biological Sciences at UMBC.

Computational AI methods

Computational Methods

We develop computational methods to automatically reverse engineer dynamic models, discover novel elements, and find the best next experiments to test.

Planarian worms simulation

Systems Biology

We build quantitative mathematical models to understand, analyze, and predict the behavior of biological systems.


Knowledge Representation

We create ontologies, curate databases, and develop expert systems used by both human scientists and artificial intelligence machines.

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Development and Regeneration

We study how shapes and patterns are form from a single cell during development and restored through regeneration.

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Cancer and other Diseases

We seek to understand why and how regulatory mechanism go awry to produce cancer and other diseases.

Regulatory network

Synthetic Biology

We design novel regulatory networks with desired dynamics and useful behaviors and functions to solve specific bioengineering problems.